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kevslinger / DTQN

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
MIT License
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Error run.py #6

Closed jewookwak closed 8 months ago

jewookwak commented 8 months ago

(DTQN) mds@mds:~/DTQN$ python -u "/home/mds/DTQN/run.py" Loading using gym.make Environment with id D not found. Loading using YAML Traceback (most recent call last): File "/home/mds/DTQN/utils/env_processing.py", line 34, in make_env env = gym.make(id_or_path) File "/home/mds/anaconda3/envs/DTQN/lib/python3.8/site-packages/gym/envs/registration.py", line 142, in make return registry.make(id, **kwargs) File "/home/mds/anaconda3/envs/DTQN/lib/python3.8/site-packages/gym/envs/registration.py", line 86, in make spec = self.spec(path) File "/home/mds/anaconda3/envs/DTQN/lib/python3.8/site-packages/gym/envs/registration.py", line 115, in spec raise error.Error('Attempted to look up malformed environment ID: {}. (Currently all IDs must be of the form {}.)'.format(id.encode('utf-8'), env_id_re.pattern)) gym.error.Error: Attempted to look up malformed environment ID: b'D'. (Currently all IDs must be of the form ^(?:[\w:-]+\/)?([\w:.-]+)-v(\d+)$.)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/home/mds/DTQN/run.py", line 533, in run_experiment(get_args()) File "/home/mds/DTQN/run.py", line 415, in run_experiment envs.append(env_processing.make_env(env_str)) File "/home/mds/DTQN/utils/env_processing.py", line 39, in make_env inner_env = factory_env_from_yaml( File "/home/mds/anaconda3/envs/DTQN/lib/python3.8/site-packages/gym_gridverse/envs/yaml/factory.py", line 243, in factory_env_from_yaml with open(path) as f: FileNotFoundError: [Errno 2] No such file or directory: '/home/mds/DTQN/envs/gridverse/D'

When I executed run.py , got above Error. I think I installed right. But might installed in wrong path. I don't understand envs/gridverse/D. Please help me execute run.py

kevslinger commented 8 months ago

Hi! Thank you for your interest in DTQN! For the most stable version of the repo, please use the paper branch. The main branch is currently set up for multi-env training and so assumes you will specify 2+ environments

jewookwak commented 8 months ago

Thank you for reply :) I succeed to execute run.py by changing to proper cuda, cudnn, pytorch version. and change some of requirements' version.